IllusionCAPTCHA: A CAPTCHA based on Visual Illusion

CAPTCHAs have long been essential tools for protecting applications from automated bots. Initially designed as simple questions to distinguish humans from bots, they have become increasingly complex to keep pace with the proliferation of CAPTCHA-cracking techniques employed by malicious actors. However, with the advent of advanced large language models (LLMs), the effectiveness of existing CAPTCHAs is now being undermined.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1145/3696410.3714726
Citations
2
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
6.49
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article

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion

Gelei Deng, Jieshan Chen, Yulei Sui, Yuekang Li et al.
2 citations
User Authentication and Security Systems
6.49
article

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion

Gelei Deng, Jieshan Chen, Yulei Sui, Yuekang Li, Yi Liu, Junchen Ding, Ziqi Ding
article en
2 citations

Abstract

CAPTCHAs have long been essential tools for protecting applications from automated bots. Initially designed as simple questions to distinguish humans from bots, they have become increasingly complex to keep pace with the proliferation of CAPTCHA-cracking techniques employed by malicious actors. However, with the advent of advanced large language models (LLMs), the effectiveness of existing CAPTCHAs is now being undermined.

Commonwealth Scientific and Industrial Research Organisation (AU), Nanyang Technological University (SG), UNSW Sydney (AU), Data61 (AU)
Openalex Percentile: Top 4%
User Authentication and Security Systems
6.49
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